Title :
One Novel Optimum Sizing Method for Solar Lighting System by Using Genetic Algorithm
Author :
Zhongshi, Li ; Wei, Zhou ; Hongxing, Yang
Author_Institution :
Dept. of Building Services Eng., Hong Kong Polytech. Univ., Kowloon, China
Abstract :
Based on Genetic Algorithm (GA), which has the ability to attain the global optimum with relative computational simplicity, one optimum sizing method for solar lighting system with battery banks was recommended. The decision variables included in the optimization process are the PV module capacity, battery capacity and PV module slope angle. A case study is presented which has been working reliably in Hong Kong for several years, and useful experience in system optimization and operation/performance has been obtained. This paper also considers the shading effects which can influence the final sizing results significantly in some cases.
Keywords :
genetic algorithms; lighting; solar cells; Hong Kong; battery banks; battery capacity; genetic algorithm; photovoltaic module capacity; photovoltaic module slope angle; shading effects; sizing method; solar lighting system; Batteries; Building integrated photovoltaics; Gas discharge devices; Genetic algorithms; Mathematical model; Photovoltaic systems; Power system modeling; Predictive models; Solar power generation; Solar radiation; Genetic algorithm; Optimization; Shading effect; Solar lighting design;
Conference_Titel :
Energy and Environment Technology, 2009. ICEET '09. International Conference on
Conference_Location :
Guilin, Guangxi
Print_ISBN :
978-0-7695-3819-8
DOI :
10.1109/ICEET.2009.61
